Interface  Description 

BinaryClassificationSummary 
Abstraction for binary classification results for a given model.

BinaryLogisticRegressionSummary 
Abstraction for binary logistic regression results for a given model.

BinaryLogisticRegressionTrainingSummary 
Abstraction for binary logistic regression training results.

BinaryRandomForestClassificationSummary 
Abstraction for BinaryRandomForestClassification results for a given model.

BinaryRandomForestClassificationTrainingSummary 
Abstraction for BinaryRandomForestClassification training results.

ClassificationSummary 
Abstraction for multiclass classification results for a given model.

ClassifierParams 
(private[spark]) Params for classification.

ClassifierTypeTrait  
FMClassificationSummary 
Abstraction for FMClassifier results for a given model.

FMClassificationTrainingSummary 
Abstraction for FMClassifier training results.

FMClassifierParams 
Params for FMClassifier.

LinearSVCParams 
Params for linear SVM Classifier.

LinearSVCSummary 
Abstraction for LinearSVC results for a given model.

LinearSVCTrainingSummary 
Abstraction for LinearSVC training results.

LogisticRegressionParams 
Params for logistic regression.

LogisticRegressionSummary 
Abstraction for logistic regression results for a given model.

LogisticRegressionTrainingSummary 
Abstraction for multiclass logistic regression training results.

MultilayerPerceptronClassificationSummary 
Abstraction for MultilayerPerceptronClassification results for a given model.

MultilayerPerceptronClassificationTrainingSummary 
Abstraction for MultilayerPerceptronClassification training results.

MultilayerPerceptronParams 
Params for Multilayer Perceptron.

NaiveBayesParams 
Params for Naive Bayes Classifiers.

OneVsRestParams 
Params for
OneVsRest . 
ProbabilisticClassifierParams 
(private[classification]) Params for probabilistic classification.

RandomForestClassificationSummary 
Abstraction for multiclass RandomForestClassification results for a given model.

RandomForestClassificationTrainingSummary 
Abstraction for multiclass RandomForestClassification training results.

TrainingSummary 
Abstraction for training results.

Class  Description 

BinaryLogisticRegressionSummaryImpl 
Binary logistic regression results for a given model.

BinaryLogisticRegressionTrainingSummaryImpl 
Binary logistic regression training results.

BinaryRandomForestClassificationSummaryImpl 
Binary RandomForestClassification for a given model.

BinaryRandomForestClassificationTrainingSummaryImpl 
Binary RandomForestClassification training results.

ClassificationModel<FeaturesType,M extends ClassificationModel<FeaturesType,M>> 
Model produced by a
Classifier . 
Classifier<FeaturesType,E extends Classifier<FeaturesType,E,M>,M extends ClassificationModel<FeaturesType,M>> 
Singlelabel binary or multiclass classification.

DecisionTreeClassificationModel 
Decision tree model (http://en.wikipedia.org/wiki/Decision_tree_learning) for classification.

DecisionTreeClassifier 
Decision tree learning algorithm (http://en.wikipedia.org/wiki/Decision_tree_learning)
for classification.

FMClassificationModel 
Model produced by
FMClassifier 
FMClassificationSummaryImpl 
FMClassifier results for a given model.

FMClassificationTrainingSummaryImpl 
FMClassifier training results.

FMClassifier 
Factorization Machines learning algorithm for classification.

GBTClassificationModel 
GradientBoosted Trees (GBTs) (http://en.wikipedia.org/wiki/Gradient_boosting)
model for classification.

GBTClassifier 
GradientBoosted Trees (GBTs) (http://en.wikipedia.org/wiki/Gradient_boosting)
learning algorithm for classification.

LinearSVC  
LinearSVCModel 
Linear SVM Model trained by
LinearSVC 
LinearSVCSummaryImpl 
LinearSVC results for a given model.

LinearSVCTrainingSummaryImpl 
LinearSVC training results.

LogisticRegression 
Logistic regression.

LogisticRegressionModel 
Model produced by
LogisticRegression . 
LogisticRegressionSummaryImpl 
Multiclass logistic regression results for a given model.

LogisticRegressionTrainingSummaryImpl 
Multiclass logistic regression training results.

MultilayerPerceptronClassificationModel 
Classification model based on the Multilayer Perceptron.

MultilayerPerceptronClassificationSummaryImpl 
MultilayerPerceptronClassification results for a given model.

MultilayerPerceptronClassificationTrainingSummaryImpl 
MultilayerPerceptronClassification training results.

MultilayerPerceptronClassifier 
Classifier trainer based on the Multilayer Perceptron.

NaiveBayes 
Naive Bayes Classifiers.

NaiveBayesModel 
Model produced by
NaiveBayes 
OneVsRest 
Reduction of Multiclass Classification to Binary Classification.

OneVsRestModel 
Model produced by
OneVsRest . 
ProbabilisticClassificationModel<FeaturesType,M extends ProbabilisticClassificationModel<FeaturesType,M>> 
Model produced by a
ProbabilisticClassifier . 
ProbabilisticClassifier<FeaturesType,E extends ProbabilisticClassifier<FeaturesType,E,M>,M extends ProbabilisticClassificationModel<FeaturesType,M>> 
Singlelabel binary or multiclass classifier which can output class conditional probabilities.

RandomForestClassificationModel 
Random Forest model for classification.

RandomForestClassificationSummaryImpl 
Multiclass RandomForestClassification results for a given model.

RandomForestClassificationTrainingSummaryImpl 
Multiclass RandomForestClassification training results.

RandomForestClassifier 
Random Forest learning algorithm for
classification.
